Class: Google::Apis::BigqueryV2::Model

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/bigquery_v2/classes.rb,
lib/google/apis/bigquery_v2/representations.rb,
lib/google/apis/bigquery_v2/representations.rb

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ Model

Returns a new instance of Model.



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5241

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#best_trial_id ⇒ Fixnum

The best trial_id across all training runs. Corresponds to the JSON property bestTrialId

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5123

def best_trial_id
  @best_trial_id
end

#creation_time ⇒ Fixnum

Output only. The time when this model was created, in millisecs since the epoch. Corresponds to the JSON property creationTime

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5129

def creation_time
  @creation_time
end

#default_trial_id ⇒ Fixnum

Output only. The default trial_id to use in TVFs when the trial_id is not passed in. For single-objective hyperparameter tuning models, this is the best trial ID. For multi-objective hyperparameter tuning models, this is the smallest trial ID among all Pareto optimal trials. Corresponds to the JSON property defaultTrialId

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5139

def default_trial_id
  @default_trial_id
end

#description ⇒ String

Optional. A user-friendly description of this model. Corresponds to the JSON property description

Returns:

  • (String) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5144

def description
  @description
end

#encryption_configuration ⇒ Google::Apis::BigqueryV2::EncryptionConfiguration

Custom encryption configuration (e.g., Cloud KMS keys). This shows the encryption configuration of the model data while stored in BigQuery storage. This field can be used with PatchModel to update encryption key for an already encrypted model. Corresponds to the JSON property encryptionConfiguration

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5152

def encryption_configuration
  @encryption_configuration
end

#etag ⇒ String

Output only. A hash of this resource. Corresponds to the JSON property etag

Returns:

  • (String) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5157

def etag
  @etag
end

#expiration_time ⇒ Fixnum

Optional. The time when this model expires, in milliseconds since the epoch. If not present, the model will persist indefinitely. Expired models will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created models. Corresponds to the JSON property expirationTime

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5166

def expiration_time
  @expiration_time
end

#feature_columns ⇒ Array<Google::Apis::BigqueryV2::StandardSqlField>

Output only. Input feature columns that were used to train this model. Corresponds to the JSON property featureColumns

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5171

def feature_columns
  @feature_columns
end

#friendly_name ⇒ String

Optional. A descriptive name for this model. Corresponds to the JSON property friendlyName

Returns:

  • (String) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5176

def friendly_name
  @friendly_name
end

#hparam_search_spaces ⇒ Google::Apis::BigqueryV2::HparamSearchSpaces

Hyperparameter search spaces. These should be a subset of training_options. Corresponds to the JSON property hparamSearchSpaces

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5181

def hparam_search_spaces
  @hparam_search_spaces
end

#hparam_trials ⇒ Array<Google::Apis::BigqueryV2::HparamTuningTrial>

Output only. Trials of a hyperparameter tuning model sorted by trial_id. Corresponds to the JSON property hparamTrials

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5187

def hparam_trials
  @hparam_trials
end

#label_columns ⇒ Array<Google::Apis::BigqueryV2::StandardSqlField>

Output only. Label columns that were used to train this model. The output of the model will have a "predicted_" prefix to these columns. Corresponds to the JSON property labelColumns

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5193

def label_columns
  @label_columns
end

#labels ⇒ Hash<String,String>

The labels associated with this model. You can use these to organize and group your models. Label keys and values can be no longer than 63 characters, can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter and each label in the list must have a different key. Corresponds to the JSON property labels

Returns:

  • (Hash<String,String>) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5202

def labels
  @labels
end

#last_modified_time ⇒ Fixnum

Output only. The time when this model was last modified, in millisecs since the epoch. Corresponds to the JSON property lastModifiedTime

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5208

def last_modified_time
  @last_modified_time
end

#location ⇒ String

Output only. The geographic location where the model resides. This value is inherited from the dataset. Corresponds to the JSON property location

Returns:

  • (String) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5214

def location
  @location
end

#model_reference ⇒ Google::Apis::BigqueryV2::ModelReference

Required. Unique identifier for this model. Corresponds to the JSON property modelReference

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5219

def model_reference
  @model_reference
end

#model_type ⇒ String

Output only. Type of the model resource. Corresponds to the JSON property modelType

Returns:

  • (String) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5224

def model_type
  @model_type
end

#optimal_trial_ids ⇒ Array<Fixnum>

Output only. For single-objective hyperparameter tuning models, it only contains the best trial. For multi-objective hyperparameter tuning models, it contains all Pareto optimal trials sorted by trial_id. Corresponds to the JSON property optimalTrialIds

Returns:

  • (Array<Fixnum>) 


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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5233

def optimal_trial_ids
  @optimal_trial_ids
end

#training_runs ⇒ Array<Google::Apis::BigqueryV2::TrainingRun>

Output only. Information for all training runs in increasing order of start_time. Corresponds to the JSON property trainingRuns

Returns:



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5239

def training_runs
  @training_runs
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/bigquery_v2/classes.rb', line 5246

def update!(**args)
  @best_trial_id = args[:best_trial_id] if args.key?(:best_trial_id)
  @creation_time = args[:creation_time] if args.key?(:creation_time)
  @default_trial_id = args[:default_trial_id] if args.key?(:default_trial_id)
  @description = args[:description] if args.key?(:description)
  @encryption_configuration = args[:encryption_configuration] if args.key?(:encryption_configuration)
  @etag = args[:etag] if args.key?(:etag)
  @expiration_time = args[:expiration_time] if args.key?(:expiration_time)
  @feature_columns = args[:feature_columns] if args.key?(:feature_columns)
  @friendly_name = args[:friendly_name] if args.key?(:friendly_name)
  @hparam_search_spaces = args[:hparam_search_spaces] if args.key?(:hparam_search_spaces)
  @hparam_trials = args[:hparam_trials] if args.key?(:hparam_trials)
  @label_columns = args[:label_columns] if args.key?(:label_columns)
  @labels = args[:labels] if args.key?(:labels)
  @last_modified_time = args[:last_modified_time] if args.key?(:last_modified_time)
  @location = args[:location] if args.key?(:location)
  @model_reference = args[:model_reference] if args.key?(:model_reference)
  @model_type = args[:model_type] if args.key?(:model_type)
  @optimal_trial_ids = args[:optimal_trial_ids] if args.key?(:optimal_trial_ids)
  @training_runs = args[:training_runs] if args.key?(:training_runs)
end